Two-Loop Controller for Maximizing Performance of a Grid-Connected Photovoltaic-Fuel Cell Hybrid Power Plant

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dc.contributor.authorRo, Kyoungsooen
dc.contributor.committeechairRahman, Saifuren
dc.contributor.committeememberLiu, Yiluen
dc.contributor.committeememberBroadwater, Robert P.en
dc.contributor.committeememberVanLandingham, Hugh F.en
dc.contributor.committeememberRoach, John W.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:21:34Zen
dc.date.adate1997-04-14en
dc.date.available2014-03-14T20:21:34Zen
dc.date.issued1997-04-14en
dc.date.rdate1997-04-14en
dc.date.sdate1998-07-21en
dc.description.abstractThe study started with the requirement that a photovoltaic (PV) power source should be integrated with other supplementary power sources whether it operates in a stand-alone or grid-connected mode. First, fuel cells for a backup of varying PV power were compared in detail with batteries and were found to have more operational benefits. Next, maximizing performance of a grid-connected PV-fuel cell hybrid system by use of a two-loop controller was discussed. One loop is a neural network controller for maximum power point tracking, which extracts maximum available solar power from PV arrays under varying conditions of insolation, temperature, and system load. A real/reactive power controller (RRPC) is the other loop. The RRPC meets the system's requirement for real and reactive powers by controlling incoming fuel to fuel cell stacks as well as switching control signals to a power conditioning subsystem. The RRPC is able to achieve more versatile control of real/reactive powers than the conventional power sources since the hybrid power plant does not contain any rotating mass. Results of time-domain simulations prove not only effectiveness of the proposed computer models of the two-loop controller, but also their applicability for use in transient stability analysis of the hybrid power plant. Finally, environmental evaluation of the proposed hybrid plant was made in terms of plant's land requirement and lifetime CO2 emissions, and then compared with that of the conventional fossil-fuel power generating forms.en
dc.description.degreePh. D.en
dc.identifier.otheretd-284211839751071en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-284211839751071/en
dc.identifier.urihttp://hdl.handle.net/10919/30378en
dc.publisherVirginia Techen
dc.relation.haspartetd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectreal and reactive power controlen
dc.subjectenvironmental evaluationen
dc.subjectphotovoltaicsen
dc.subjectfuel cellsen
dc.subjectbatteriesen
dc.subjectneural networksen
dc.subjectmaximum power point tracking controlleren
dc.titleTwo-Loop Controller for Maximizing Performance of a Grid-Connected Photovoltaic-Fuel Cell Hybrid Power Planten
dc.typeDissertationen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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